Bootstrapping a Database of German Multi-word Expressions
Alexander Geyken · 2004
We pre-classified 32,000 entries from the Wörterbuch der deutschen Idiomatik (Schemann, 1993) using an inductive description of POS sequences in conjunction with a Brill Tagger trained on manually tagged idiomatic entries.This process assigned categories to 86% of entries with 88% accuracy.Further manual classification resulted in a database of multi-word expressions where each entry is associated with a sequence of POS-tag/token pairs.The second phase of our project, currently underway, addresses the association of a sequence of POS-tag/token pairs with a corpus example.To this end, we generate a weighted finite state transducer from the sequences for each entry and apply a finite state filter to the corpus.The filter will extract those sequences in the corpus that correspond to the longest match of the multi-word expression.